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Doktorand AI FTE & AI‑gestützte Produktivitätsmessung Software Engineering(m/w/x)
Researching and validating AI FTE concepts for software engineering productivity metrics. Strong empirical research and data analysis skills required. Mobile work, 30 vacation days, and independent planning.
Requirements
- Excellent German and English skills
- Very good Master's degree in Informatics, Data Science, Software Engineering, Statistics, Mathematics, Industrial Engineering or comparable
- Strong interest in empirical research, metric models, and methodologically sound validation
- Solid understanding of Software Engineering/SDLC and interest in AI-driven productivity
- Very good skills in data analysis and modeling
- High communication strength and ability to convey complex issues understandably
- Experience with productivity, efficiency, or quality metrics in software/technology environment
- Knowledge in governance, process, or framework design is advantageous
- First experience with offering, delivery, or business partner models is advantageous
- Experience in knowledge transfer, enablement formats, workshops, or community work is a big plus
Tasks
- Conduct research on AI FTE concept
- Develop and validate AI FTE methodology
- Ensure transparency in AI productivity metrics
- Measure AI-supported efficiency gains
- Enhance practical usability of AI FTE
- Collaborate on AI-based tool development
- Maintain scientific rigor in research
- Communicate findings and progress
- Support AI tool implementation
- Ensure ethical use of AI in productivity
Work Experience
- approx. 1 - 4 years
Education
- Master's degree
Languages
- German – Native
- English – Native
Tools & Technologies
- Python
- R
- Copilots
- agentische Workflows
- moderne Entwickler-Toolchains
Benefits
Flexible Working
- Mobile Work
- Flexible working hours
- Working time depot
More Vacation Days
- 30 vacation days
Purpose-Driven Work
- Independent work planning
Learning & Development
- Personal development opportunities
- Training offers
- Conferences
- Online trainings
- Udemy Business
Informal Culture
- Flat hierarchies
- Appreciative atmosphere
- Openness
- Open-mindedness
- Great Place to Work - Best Employers
Career Advancement
- Leadership career
Startup Environment
- Innovative processes
Corporate Discounts
- Discounted sports offers
- Corporate benefits
Mental Health Support
- Instahelp
Retirement Plans
- Company pension plan
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Doktorand AI FTE & AI‑gestützte Produktivitätsmessung Software Engineering(m/w/x)
Researching and validating AI FTE concepts for software engineering productivity metrics. Strong empirical research and data analysis skills required. Mobile work, 30 vacation days, and independent planning.
Requirements
- Excellent German and English skills
- Very good Master's degree in Informatics, Data Science, Software Engineering, Statistics, Mathematics, Industrial Engineering or comparable
- Strong interest in empirical research, metric models, and methodologically sound validation
- Solid understanding of Software Engineering/SDLC and interest in AI-driven productivity
- Very good skills in data analysis and modeling
- High communication strength and ability to convey complex issues understandably
- Experience with productivity, efficiency, or quality metrics in software/technology environment
- Knowledge in governance, process, or framework design is advantageous
- First experience with offering, delivery, or business partner models is advantageous
- Experience in knowledge transfer, enablement formats, workshops, or community work is a big plus
Tasks
- Conduct research on AI FTE concept
- Develop and validate AI FTE methodology
- Ensure transparency in AI productivity metrics
- Measure AI-supported efficiency gains
- Enhance practical usability of AI FTE
- Collaborate on AI-based tool development
- Maintain scientific rigor in research
- Communicate findings and progress
- Support AI tool implementation
- Ensure ethical use of AI in productivity
Work Experience
- approx. 1 - 4 years
Education
- Master's degree
Languages
- German – Native
- English – Native
Tools & Technologies
- Python
- R
- Copilots
- agentische Workflows
- moderne Entwickler-Toolchains
Benefits
Flexible Working
- Mobile Work
- Flexible working hours
- Working time depot
More Vacation Days
- 30 vacation days
Purpose-Driven Work
- Independent work planning
Learning & Development
- Personal development opportunities
- Training offers
- Conferences
- Online trainings
- Udemy Business
Informal Culture
- Flat hierarchies
- Appreciative atmosphere
- Openness
- Open-mindedness
- Great Place to Work - Best Employers
Career Advancement
- Leadership career
Startup Environment
- Innovative processes
Corporate Discounts
- Discounted sports offers
- Corporate benefits
Mental Health Support
- Instahelp
Retirement Plans
- Company pension plan
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Mercedes-Benz Tech Innovation
Industry
IT
Description
The company develops technological innovations, digital products and future-oriented software solutions for car connectivity.
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